Biography

Dr. Jibin Wu is an Assistant Professor jointly appointed in the Department of Data Science and Artificial Intelligence, The Hong Kong Polytechnic University. Before joining PolyU, he was a research scientist at Sea AI Lab (SAIL) from 2021 to 2022. Dr. Wu received Bachelor and Ph.D. degrees from National University of Singapore (NUS) in 2016 and 2020, respectively.

Dr. Wu is currently affiliated with the MIND Lab@PolyU, which is dedicated to advancing the frontiers of nature-inspired artificial intelligence research. His research interests encompass a wide range of areas, focusing on brain-inspired computing, large foundation models, and speech processing. His primary dedication lies in unraveling the computational principles and architectures of biological brains while also striving to develop cutting-edge cognitive machines that possess exceptional intelligence, energy efficiency, robustness, adaptability, and explainability.

Dr. Wu has actively published in prestigious conferences and journals in artificial intelligence and speech processing, including Nature Communications, TPAMI, TNNLS, TASLP, NeurIPS, ICML, and ICLR. He is currently serving as the Associate Editors for IEEE Transactions on Neural Networks and Learning Systems and IEEE Transactions on Cognitive and Developmental Systems.

Research Interests
  • Brain-inspired Computing

    Memory and Continual Learning, Reasoning, Brain-computer Interface, Spiking Neural Networks

  • Large Foundation Models

    Efficient Model Architecture Design, Multimodal Foundational Models, AI Agent, AI Infra

  • Speech Processing

    Hearing Aid Technology, Audio Language Models, Speech Enhancement

  • AI Hardware

    Hearing Aid, Smart Glasses

Education

  • Doctor of Philosophy, 2020

    National University of Singapore

  • BEng in Electrical Engineering, 2016

    National University of Singapore

Contact

Latest News

[02/2026] We have two papers accepted by CVPR 2026, titled “ReLaX: Reasoning with Latent Exploration for Large Reasoning Models” and “Temporal Interaction in Spiking Transformers with Multi-Delay Mixer”. Congratulations to Shimin Zhang, Xianwei Chen, Kexin Shi, and their coauthors.
[01/2026] We have three papers accepted by ICLR 2026, titled “Discovering heterogeneous synaptic plasticity rules via large-scale neural evolution”, “MindMix: A Multimodal Foundation Model for Auditory Perception Decoding via Deep Neural-Acoustic Alignment”, and “Advancing Spatiotemporal Representations in Spiking Neural Networks via Parametric Invertible Transformation”. Congratulations to Ziyuan Ye, Rui Liu, Yinsong Yan, and their coauthors.
[01/2026] We have two papers accepted by ICASSP 2026, titled “Towards Efficient Spiking Neural Networks: A Reliable Structured Pruning Criterion” and “CSC-AADNet: Addressing Cross-Subject and Cross-Scenario Challenges in EEG-Based Auditory Attention Decoding” . Congratulations to Hanwen Liu, Zhige Chen, and their coauthors.
[12/2025] We have secured the Second Place in The ICASSP 2025 EEG-AAD Grand Challenge (Track 1). Congratulations to Zhige Chen and our collaborators.
[12/2025] We have secured the Third Place in 2025 NeurIPS EEG Foundation Challenge out of 1,183 teams/participants. Congratulations to Zhige Chen and our collaborators.
[11/2025] Congratulations to Xingyu Wu for his paper “LLM-driven Evolutionary Algorithm Selection: Bidirectional Framework and Sampling Paradigm” received the Best Paper Award at The International Conference on Machine Intelligence and Nature-inspireD Computing.
[11/2025] Congratulations to Hanwen Liu for his paper “HardF-SNN: Hardware-Friendly Quantization for Spiking Neural Networks with Efficient Integer-Arithmetic-Only Inference” accepted by AAAI 2026.

Services

Associate Editor
IEEE Transactions on Neural Networks and Learning Systems (IF: 10.4)
Associate Editor
IEEE Transactions on Cognitive and Developmental Systems (IF: 5.0)
Executive Committee Member
IEEE (Hong Kong) Computational Intelligence Chapter

Research Team

Postdoc Fellows

Rui LIU

Research Interests

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Neuroimaging Analysis

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Multimodal Foundation Model

Xinyi CHEN

Research Interests

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Brain-inspired Computing

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Spiking Neural Network

PhD Students

Chengzhi JI

Research Interests

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Large Foundation Model

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Memory Models

Ling Wang

Research Interests

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Multimodal Foundation Model

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Active Perception

Hanglei ZHANG

Research Interests

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Audio Language Model

Shimin ZHANG

Research Interests

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Reasoning

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Speech Processing

Yufei ZHANG

Research Interests

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Audio-Visual Processing

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Smart Glass

Ruofan YAN

Research Interests

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Brain-computer Interface

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Computational Audition

Zhige CHEN

Research Interests

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Brain-computer Interface

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Large Foundation Models

Xianwei CHEN

Research Interests

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AI Agent

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Embodied Intelligence

Yuhong CHOU

Research Interests

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Efficient LLM

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AI Infra

Beichen HUANG

Research Interests

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Evolutionary Computation

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Neural Evolution

Yinsong YAN

Research Interests

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Brain-inspired Computing

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Multimodal Foundation Model

Yu ZHOU

Research Interests

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Large Foundation Models

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Deep Reinforcement Learning

Ziyuan YE

Research Interests

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Learning and Memory

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Large Foundation Models

Xiang HAO

Research Interests

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Speech Processing

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Hearing Aid Technology

Chenxiang MA

Research Interests

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Spiking Neural Network

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Local Learning

Zeyang SONG

Research Interests

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Speech Processing

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Spiking Neural Network

Research Assistants

Zehao LIU

Research Interests

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Large Foundation Model

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Machine Learning System

Wenlong YOU

Research Interests

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Multimodal Learning

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Brain Computer Interface

Shu PENG

Research Interests

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Brain Computer Interface

Mengqi XU

Research Interests

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Machine Learning

Alumni

Qu YANG
Ph.D. Student2020 - 2024
AI Researcher, Huawei (Singapore)

Award

Best Paper Award
The International Conference on Machine Intelligence and Nature-inspireD Computing (MIND 2025) 2025
First Prize with Cash Prize of USD 15,000
IEEE CIS FLAME Technical Challenge 2024 2024
Best Paper Award
IEEE Conference on Artificial Intelligence 2024
Track 1 (Algorithmic) Winner with Cash Prize of USD 15,000
Intel Neuromorphic Deep Noise Suppression Challenge 2023
Second Prize of Final Contest with Cash Prize of RMB 60,000
International Collegiate Competition for Brain-inspired Computing 2019
Tsinghua University, China (Team Leader)
President’s Graduate Fellowship
National University of Singapore 2019 – 2020
First Prize of Final Contest with Cash Prize of RMB 100,000
International Collegiate Competition for Brain-inspired Computing 2018
Tsinghua University, China (Team Leader)

Recent Publications

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Xun Zhou, Songbai Liu, Jibin Wu, Yue Wang, Kay Chen Tan (2026). From Coarse to Fine A Multi-Stage Framework for Neural Architecture Search. in IEEE Computational Intelligence Magazine.

Cite

Shimin Zhang, Xianwei Chen, Yufan Shen, Ziyuan Ye, Jibin Wu* (2026). ReLaX: Reasoning with Latent Exploration for Large Reasoning Models. Conference on Computer Vision and Pattern Recognition 2026 (CVPR 2026).

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Kexin Shi, Hanwen Liu, Zeyang Song, Yang Liu, Jieyuan Zhang, Shuai Wang, Jibin Wu, Malu Zhang, Yang Yang (2026). Temporal Interaction in Spiking Transformers with Multi-Delay Mixer. Conference on Computer Vision and Pattern Recognition 2026 (CVPR 2026).

Cite

Yinsong Yan, Yujie Wu, Jibin Wu* (2026). Advancing Spatiotemporal Representations in Spiking Neural Networks via Parametric Invertible Transformation. In The Fourteenth International Conference on Learning Representations (ICLR 2026).

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Ziyuan Ye, Beichen Huang, Yujie Wu, Guozhang Chen*, Jibin Wu* (2026). Discovering Heterogeneous Synaptic Plasticity Rules via Large-scale Neural Evolution. In The Fourteenth International Conference on Learning Representations (ICLR 2026).

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